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Visualize bounding boxes on images for object detection tasks, aiding in AI model understanding and debugging.
The BboxVisualize
node is designed to help you visualize bounding boxes on images. This can be particularly useful for tasks such as object detection, where you need to see the areas of interest highlighted on the images. The node takes a list of bounding boxes and corresponding images, and draws the bounding boxes on the images with a specified line width. This visual representation can aid in better understanding and debugging of your AI models by providing a clear and immediate visual feedback of the detected or annotated regions.
This parameter expects a list of images on which the bounding boxes will be drawn. Each image should correspond to a bounding box in the bboxes
parameter. The images are processed to draw the bounding boxes and then returned with the visualized bounding boxes.
This parameter expects a list of bounding boxes, where each bounding box is defined by four values: x_min
, y_min
, width
, and height
. These values specify the top-left corner and the dimensions of the bounding box. The bounding boxes should match the images provided in the images
parameter.
This parameter specifies the width of the lines used to draw the bounding boxes. It accepts an integer value with a default of 1, a minimum of 1, and a maximum of 10. Adjusting the line width can help in making the bounding boxes more or less prominent on the images.
The output is a list of images with the bounding boxes drawn on them. Each image will have the corresponding bounding box visualized with the specified line width, making it easy to see the areas of interest directly on the images.
x_min
, y_min
, width
, and height
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